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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Ken Birman
DESCRIPTION:Title: Building a Platform to Host Real Time ML
	 Tasks\nSpeaker: Ken Birman\nAbstract: With all the talk about smart
	 homes\, smart cities and highways\, smart grid and even smart farms\, it
	 may be surprising to realize that today's IoT platform lack ML computing
	 infrastructure support. The popular tools for big-data analytics and
	 ML\, like MapReduce/Spark\, PyTorch\, TensorFlow\, etc\, simply don't
	 want work in IoT settings. As a result\, people tackling smart
	 applications currently build everything from scratch.\nMy goal over the
	 next few years is to evolve the Derecho platform to tackle this gap. In
	 the talk I'll discuss the IoT critical path and how it differs from a
	 batched big-data analytics environment. Then we'll ask whether one could
	 create a high-performance platform aimed at intelligent IoT computing\,
	 but one that would preserve a familiar look and feel. The goal would be
	 to make it easy to  move ML computing from today's high-productivity
	 offline settings into IoT environments with minimal changes.
LOCATION:Gates 122
UID:2019-11-12
STATUS:TENTATIVE
DTSTART:20191112T170000Z
DTEND:20191112T180000Z
LAST-MODIFIED:20191106T215420Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T150351Z
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